Text Classification
PEFT
lora
document-question-answering
structured-decisions
calibration
synthetic-evaluation
Instructions to use botp/Solomon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use botp/Solomon with PEFT:
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- Notebooks
- Google Colab
- Kaggle
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Download mlx/bf16/README.md from botp/Solomon: direct link, hf CLI and curl.
- Browser
- Download file 3.06 kB
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https://huggingface.co/botp/Solomon/resolve/main/mlx/bf16/README.md
- Command line
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hf download hf://botp/Solomon/mlx/bf16/README.md
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curl -L -o README.md https://huggingface.co/botp/Solomon/resolve/main/mlx/bf16/README.md
3.06 kB
| # Solomon BF16 conversion provenance | |
| This directory retains metadata for the unquantized BF16 conversion. **Backbone | |
| weights are downloaded separately from Qwen; adapter and head weights live at | |
| `adapter/adapter.safetensors` and `adapter/heads.npz` in the repository root.** | |
| This directory is no longer a self-contained loadable model. | |
| Install the source package in [`../`](../) and follow its README. From that | |
| package directory: | |
| ```sh | |
| uv sync --frozen --extra dev | |
| SOLOMON_COMMIT=$(uv run python -c 'from huggingface_hub import HfApi; print(HfApi().model_info("DoccyHealth/Solomon").sha)') | |
| uv run solomon-mlx-hub prepare --revision "$SOLOMON_COMMIT" --output models/quality | |
| ``` | |
| The loader fetches `adapter/**` plus MLX licensing metadata at the pinned Solomon | |
| commit. It obtains the original base from `Qwen/Qwen3.8-27B` at | |
| `1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0`, verifies every base file, and invokes | |
| the included exact converter. Existing original weights can be supplied with | |
| `--base`. Existing valid converted outputs are verified and reused. | |
| The original converter source is `../src/solomon_mlx/prepare.py`. The runtime | |
| source hash recorded in `conversion.json` for this historical conversion is | |
| `648e440cface0838f2dcc8d89b3ab172d97f4ffc1f88fe0b7cbbe3ca73b8a575`. The | |
| current runtime source hash is | |
| `bbcae17fc1c35db80a79d5865133a42ef9a1b0cf342fff71949972e69cce43ec`; | |
| the two differ only by the release documentation edits described in `../README.md`, | |
| which changed no converter behaviour. The new Hub loader is packaged separately so the original | |
| converter remains reproducible. Dependency versions are locked in `../uv.lock`. | |
| Large matrices stay BF16; normalization parameters, `A_log`, and `dt_bias` stay | |
| FP32, with normalization offsets applied after promotion. LoRA is never merged. | |
| `conversion.json` and `binding.json` retain the historical output checksums and | |
| paths, including removed backbone and duplicate adapter paths. The root adapter | |
| and heads are byte-identical to those historical records. The old binding SHA-256 | |
| is `6d45715aa040fad98b061ff2cbafb35b047143ef2475646cee3df7a334f4d530`. | |
| New local conversions receive a fresh binding with actual output checksums; | |
| safetensors serialization may differ across CPU and Metal. The historical source | |
| revision `2ec506902269e4636285c8811f6c0f52c9300c0c` is provenance, not a required | |
| future download URL. After a history rewrite, pin the new repository commit. | |
| **Experimental: complete CUDA parity remains pending.** Focused text/image | |
| fixtures and a partial text panel match CUDA decisions. See the dated results in | |
| `../docs/VALIDATION-20260921.md`. No new calibration or temperature fitting is | |
| required or performed. Existing CUDA temperatures are applied identically to both | |
| backends for comparison; CUDA qualification is not inherited. | |
| The historical conversion produced 55,610,774,146 bytes. Focused inference used | |
| about 59.9 GB peak Metal allocation on an M5 Max / 128 GB Mac; larger inputs need | |
| more memory. This is full BF16, without quantization, and does not fit 24–32 GB Macs. | |